#!/usr/bin/env node // Calcule les normales JOURNALIÈRES TN / TX par département sur la période WMO 1991-2020 // à partir des données quotidiennes Météo France (Q__previous-1950-2024_RR-T-Vent.csv.gz). // // Output : src/data/normales.json // { "75": [{ doy:1, tn:-2.1, tx:5.2, tnStd:3.4, txStd:4.5, n:152 }, ..., 366], ... } // doy = day-of-year (1..366), tn/tx en °C, tnStd/txStd écart-type. // // Taille output : ~1.8 MB (vs ~78 KB pour mensuelles). Acceptable pour bundle. // Lancé manuellement, à relancer ~1× / an (les normales 1991-2020 restent référence WMO jusqu'à 2031). import { gunzipSync } from 'node:zlib'; import { writeFileSync, mkdirSync } from 'node:fs'; import { dirname, resolve } from 'node:path'; import { fileURLToPath } from 'node:url'; const __dirname = dirname(fileURLToPath(import.meta.url)); const OUT = resolve(__dirname, '../src/data/normales.json'); const BASE = 'https://object.files.data.gouv.fr/meteofrance/data/synchro_ftp/BASE/QUOT'; const PERIOD_START = 1991; const PERIOD_END = 2020; const DEPTS = [ '01','02','03','04','05','06','07','08','09','10', '11','12','13','14','15','16','17','18','19','21', '22','23','24','25','26','27','28','29','2A','2B', '30','31','32','33','34','35','36','37','38','39', '40','41','42','43','44','45','46','47','48','49', '50','51','52','53','54','55','56','57','58','59', '60','61','62','63','64','65','66','67','68','69', '70','71','72','73','74','75','76','77','78','79', '80','81','82','83','84','85','86','87','88','89', '90','91','92','93','94','95', ]; // Day-of-year 1..366. On utilise une convention "leap" (29 fév = 60), // les années non-bissextiles n'ont pas de 60 → on garde le bucket même vide // puis on l'interpole en post-process. function dayOfYear(year, month, day) { const cumulNonLeap = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334]; const cumulLeap = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335]; const isLeap = (year % 4 === 0 && year % 100 !== 0) || (year % 400 === 0); return (isLeap ? cumulLeap : cumulNonLeap)[month - 1] + day; } async function fetchAndParse(dept) { const fileCode = (dept === '2A' || dept === '2B') ? '20' : dept; const url = `${BASE}/Q_${fileCode}_previous-1950-2024_RR-T-Vent.csv.gz`; const res = await fetch(url); if (!res.ok) throw new Error(`HTTP ${res.status}`); const buf = Buffer.from(await res.arrayBuffer()); const text = gunzipSync(buf).toString('utf-8'); const lines = text.split('\n'); if (lines.length < 2) return null; const header = lines[0].split(';'); const idxDate = header.indexOf('AAAAMMJJ'); const idxTN = header.indexOf('TN'); const idxTX = header.indexOf('TX'); if (idxDate === -1) return null; // 367 buckets pour doy 1..366 (index 0 inutilisé). const acc = Array.from({ length: 367 }, () => ({ tnSum: 0, tnSquares: 0, tnN: 0, txSum: 0, txSquares: 0, txN: 0, })); for (let i = 1; i < lines.length; i++) { const line = lines[i]; if (!line) continue; const cols = line.split(';'); const raw = cols[idxDate]; if (!raw || raw.length !== 8) continue; const year = parseInt(raw.slice(0, 4), 10); if (year < PERIOD_START || year > PERIOD_END) continue; const m = parseInt(raw.slice(4, 6), 10); const d = parseInt(raw.slice(6, 8), 10); if (m < 1 || m > 12 || d < 1 || d > 31) continue; const doy = dayOfYear(year, m, d); if (doy < 1 || doy > 366) continue; if (idxTN !== -1 && cols[idxTN]) { const v = parseFloat(cols[idxTN].replace(',', '.')); if (Number.isFinite(v)) { acc[doy].tnSum += v; acc[doy].tnSquares += v * v; acc[doy].tnN++; } } if (idxTX !== -1 && cols[idxTX]) { const v = parseFloat(cols[idxTX].replace(',', '.')); if (Number.isFinite(v)) { acc[doy].txSum += v; acc[doy].txSquares += v * v; acc[doy].txN++; } } } const out = []; for (let doy = 1; doy <= 366; doy++) { const a = acc[doy]; const tnMean = a.tnN > 0 ? a.tnSum / a.tnN : null; const txMean = a.txN > 0 ? a.txSum / a.txN : null; const tnVar = a.tnN > 1 && tnMean !== null ? (a.tnSquares - a.tnN * tnMean * tnMean) / (a.tnN - 1) : 0; const txVar = a.txN > 1 && txMean !== null ? (a.txSquares - a.txN * txMean * txMean) / (a.txN - 1) : 0; out.push({ doy, tn: tnMean !== null ? +tnMean.toFixed(2) : null, tx: txMean !== null ? +txMean.toFixed(2) : null, tnStd: +Math.sqrt(Math.max(0, tnVar)).toFixed(2), txStd: +Math.sqrt(Math.max(0, txVar)).toFixed(2), n: Math.min(a.tnN, a.txN), }); } // Lissage léger sur fenêtre 7 jours pour réduire le bruit jour-à-jour (la T° d'un 12 juin // n'est pas significativement différente d'un 13 juin sur 30 ans). Mode wrap-around pour les bordures. const smoothed = out.map((_, i) => { let txSum = 0, txN = 0, tnSum = 0, tnN = 0; let stdTxSum = 0, stdTnSum = 0, stdN = 0; for (let k = -3; k <= 3; k++) { const j = (i + k + 366) % 366; // wrap const w = out[j]; if (w.tx !== null) { txSum += w.tx; txN++; stdTxSum += w.txStd; } if (w.tn !== null) { tnSum += w.tn; tnN++; stdTnSum += w.tnStd; } stdN++; } return { doy: out[i].doy, tn: tnN > 0 ? +(tnSum / tnN).toFixed(2) : null, tx: txN > 0 ? +(txSum / txN).toFixed(2) : null, tnStd: stdN > 0 ? +(stdTnSum / stdN).toFixed(2) : 0, txStd: stdN > 0 ? +(stdTxSum / stdN).toFixed(2) : 0, n: out[i].n, }; }); return smoothed; } const start = Date.now(); const all = {}; let done = 0; for (const dept of DEPTS) { const t0 = Date.now(); process.stdout.write(`[${++done}/${DEPTS.length}] ${dept}... `); try { const r = await fetchAndParse(dept); all[dept] = r; console.log(`ok ${(Date.now() - t0) / 1000 | 0}s`); } catch (e) { console.log(`FAIL ${e.message}`); all[dept] = null; } } // 2A et 2B partagent les données code "20" if (all['2A']) all['2B'] = all['2A']; else if (all['2B']) all['2A'] = all['2B']; mkdirSync(dirname(OUT), { recursive: true }); writeFileSync(OUT, JSON.stringify(all)); const dur = ((Date.now() - start) / 1000 / 60).toFixed(1); const size = (JSON.stringify(all).length / 1024).toFixed(1); console.log(`\nWrote ${OUT} (${size} KB) in ${dur} min`);